Claude Opus 4.1 vs Gemini 3.1 Pro Preview
Updated October 21, 2026. 64 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 64 shared
Decision reading
Pick Gemini 3.1 Pro Preview for coding: it scores 35.3 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.
Pick Claude Opus 4.1 when what matters is DeepResearch Bench or TaxEval (Vals AI), where it leads.
Model AClaude Opus 4.1Anthropic27.2/1001 independent benchmarkNo cost per solved taskModel BGemini 3.1 Pro PreviewGoogle35.3/1001 independent benchmark$0.99 per solved task
- Shared results
- 64
- Claude Opus 4.1 only
- 7
- Gemini 3.1 Pro Preview only
- 67
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview scores 35.3 against 27.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 76.3%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 78.2%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 87.9%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1234 against 1177.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Pro Preview
Claude Opus 4.1 $0.052, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Claude Opus 4.1 27.2 from 1 benchmark, Gemini 3.1 Pro Preview 35.3 from 1 benchmark.
- Widest category
- Math, 22.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Gemini 3.1 Pro Preview 59.6%, 47.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 6.3x apart.
- Context window
- Claude Opus 4.1 takes 200K tokens, Gemini 3.1 Pro Preview 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Opus 4.1 | Bars | Gemini 3.1 Pro Preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 9 | ||
| Math | 0 | 6 | ||
| Knowledge | 1 | 9 | ||
| Web design | 0 | 8 | ||
| General | 0 | 21 | ||
| All shared boards | 2 | 62 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1390 | 1447 | Gemini 3.1 Pro Preview |
| AA Coding Index | Not measured | 68.8 | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Vals AI) | 66.5% | 88.5% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | Not measured | 78.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 2.5% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | Not measured | 32.0% | Only Gemini 3.1 Pro Preview measured |
| Code migration (Vals AI) | Not measured | 17.3% | Only Gemini 3.1 Pro Preview measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | Not measured | 51.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 70.8% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 6.7% | Only Gemini 3.1 Pro Preview measured |
| SciCode | Not measured | 58.7% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench | 38.0% | 80.2% | Gemini 3.1 Pro Preview |
| GSO-Bench | Not measured | 22.6% | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 45.9% | 72.1% | Gemini 3.1 Pro Preview |
| MirrorCode | Not measured | 8.9% | Only Gemini 3.1 Pro Preview measured |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| ALE-Bench | Not measured | 1160.6 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: coding | 1479 | 1484 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1456 | 1487 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | Not measured | 1438 | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: HTML | 1399 | 1490 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 29.7 | Gemini 3.1 Pro Preview |
| Epoch Capabilities Index | 144.1 | Not measured | Only Claude Opus 4.1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 8.2 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | Not measured | 1125 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | Not measured | 1068 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | Not measured | 1094 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | Not measured | 1055 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | Not measured | 1236 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | Not measured | 1114 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | Not measured | 1153 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | Not measured | 1064 | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | Not measured | 43.0% | Only Gemini 3.1 Pro Preview measured |
| Tax Agent Bench (Vals AI) | Not measured | 9.3% | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 52.6% | Only Gemini 3.1 Pro Preview measured |
| BioMysteryBench (Vals AI) | Not measured | 60.0% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | Not measured | 27.4% | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | Not measured | 95.6% | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | Not measured | 35.1% | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | 66.8% | 77.0% | Gemini 3.1 Pro Preview |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| BALROG | Not measured | 57.0% | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 48.3% | 47.8% | Claude Opus 4.1 |
| PostTrainBench | Not measured | 22.0% | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | Not measured | $911 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 95.5% | Gemini 3.1 Pro Preview |
| MysteryMechanism (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 77.5% | 88.2% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Artificial Analysis run) | Not measured | 94.1% | Only Gemini 3.1 Pro Preview measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 47.0% | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 94.4% | Gemini 3.1 Pro Preview |
| ARC-AGI | Not measured | 98.0% | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | 60.0% | 79.6% | Gemini 3.1 Pro Preview |
| Chess puzzles | Not measured | 51.0% | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 21.0% | 34.0% | Gemini 3.1 Pro Preview |
| EBR-bench | 7.9% | 14.3% | Gemini 3.1 Pro Preview |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | 1485 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1438 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1451 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | Not measured | 1311 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | Not measured | 1316 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AIME | 78.2% | 98.1% | Gemini 3.1 Pro Preview |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | 95.6% | Gemini 3.1 Pro Preview |
| FrontierMath, tiers 1 to 3 | 12.6% | 59.6% | Gemini 3.1 Pro Preview |
| FrontierMath, tier 4 | 2.4% | 26.8% | Gemini 3.1 Pro Preview |
| ProofBench | Not measured | 26.0% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | 1431 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1434 | 1478 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 91.0% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 83.5% | 87.4% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | Not measured | 64.8% | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | Not measured | 64.5% | Only Gemini 3.1 Pro Preview measured |
| TaxEval (Vals AI) | 73.7% | 72.9% | Claude Opus 4.1 |
| MortgageTax (Vals AI) | 61.1% | 69.4% | Gemini 3.1 Pro Preview |
| MedQA (Vals AI) | 93.6% | 96.4% | Gemini 3.1 Pro Preview |
| MedCode (Vals AI) | 47.2% | 59.1% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | Not measured | 73.5% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1422 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1416 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1421 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1406 | 1459 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1177 | 1234 | Gemini 3.1 Pro Preview |
| Design Arena: UI components | 1164 | 1226 | Gemini 3.1 Pro Preview |
| Design Arena: game dev | 1172 | 1203 | Gemini 3.1 Pro Preview |
| Design Arena: data viz | 1166 | 1209 | Gemini 3.1 Pro Preview |
| Design Arena: 3D | 1153 | 1234 | Gemini 3.1 Pro Preview |
| Design Arena: all code categories | 1171 | 1231 | Gemini 3.1 Pro Preview |
| Design Arena: SVG | 1152 | 1285 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1167 | 1270 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 31.4% | 48.7% | Gemini 3.1 Pro Preview |
| MedScribe (Vals AI) | 73.9% | 76.1% | Gemini 3.1 Pro Preview |
| Vals Multimodal Index | Not measured | 56.1% | Only Gemini 3.1 Pro Preview measured |
| IFBench | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | Not measured | 82.0% | Only Gemini 3.1 Pro Preview measured |
| DTBench | 80.0% | 97.1% | Gemini 3.1 Pro Preview |
| LMCA | 37.1% | 53.8% | Gemini 3.1 Pro Preview |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| CL-bench | Not measured | 20.8% | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | Not measured | 26.1% | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | Not measured | 16.9% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1419 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1435 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1412 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Vision | Not measured | 1296 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | 1433 | 1478 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1405 | 1476 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1427 | 1527 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1413 | 1490 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1377 | 1491 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1381 | 1455 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1433 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1448 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1422 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1413 | 1498 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1444 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1455 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1418 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1398 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | Not measured | 1287 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | Not measured | 1364 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | Not measured | 1304 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: humor | Not measured | 1322 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | Not measured | 1345 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | Not measured | 1330 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | Not measured | 1324 | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | Not measured | 1444 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Claude Opus 4.1$0.052Fits in one request
Gemini 3.1 Pro Preview$0.0080Fits in one request
Gemini 3.1 Pro Preview costs less
Repository review
50K input + 3K output tokens
Claude Opus 4.1$0.975Fits in one request
Gemini 3.1 Pro Preview$0.136Fits in one request
Gemini 3.1 Pro Preview costs less
Agent loop
200K input + 10K output tokens
Claude Opus 4.1$3.75Exceeds the context window
Gemini 3.1 Pro Preview$0.520Fits in one request
Gemini 3.1 Pro Preview costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Opus 4.1 | Google Gemini 3.1 Pro Preview |
|---|---|---|
| Maker | Anthropic | |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | February 19, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $15.00 | $2.00 |
| Output $/Mtok | $75.00 | $12.00 |
| Coding index | 27.2 | 35.3 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.99 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than Gemini 3.1 Pro Preview for coding?
Pick Gemini 3.1 Pro Preview for coding: it scores 35.3 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is DeepResearch Bench or TaxEval (Vals AI), where it leads.
Which is cheaper, Claude Opus 4.1 or Gemini 3.1 Pro Preview?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Claude Opus 4.1 or Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview, with 1.05M tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs Gemini 3.1 Pro Preview comparison based on?
64 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Gemini 3.1 Pro Preview's on 1. Where only one model has a result, the page says so instead of naming a winner.